An E-Mail Sleuth-Kit : Supportive System for Prediction and Analysis of E-Mails to Combat Frauds and Crimes.

Autor: Pokhriyal, Vaibhav, K., Vaishnavi, Mallya, Aditi, M., Sapna V., A. C., Pavan
Předmět:
Zdroj: Grenze International Journal of Engineering & Technology (GIJET); Jan Part 3, Vol. 10, p2606-2613, 8p
Abstrakt: The growing amount of emails, combined with the spread of spam and hazardous content, poses a huge challenge to efficient email management and information security. Current spam detection and email classification solutions frequently lack comprehensive capabilities and fail to integrate various functionalities into a single tool. This results in a fragmented approach to email forensics, making it difficult for investigators to efficiently analyze, classify, and follow email messages. Enhancing email security is of paramount importance in today's digital landscape, where cyber threats pose significant risks to organizations. This research paper explores five crucial functionalities that play a vital role in fortifying email security. These functionalities empower organizations to enhance their email security infrastructure, safeguard sensitive information, and protect against various email-based threats. This research paper provides valuable insights into the effectiveness and importance of these functionalities for email security enhancement. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index